Andrew Yates
Andrew Yates
Max Planck Institute for Informatics, Saarland Informatics Campus
Verified email at mpi-inf.mpg.de - Homepage
Title
Cited by
Cited by
Year
ADRTrace: detecting expected and unexpected adverse drug reactions from user reviews on social media sites
A Yates, N Goharian
European Conference on Information Retrieval, 816-819, 2013
1022013
PACRR: A Position-Aware Neural IR Model for Relevance Matching
K Hui, A Yates, K Berberich, G de Melo
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
79*2017
Depression and Self-Harm Risk Assessment in Online Forums
A Yates, A Cohan, N Goharian
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
782017
CEDR: Contextualized Embeddings for Document Ranking
S MacAvaney, A Yates, A Cohan, N Goharian
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
772019
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
K Popat, S Mukherjee, A Yates, G Weikum
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
742018
A framework for detecting public health trends with Twitter
J Parker, Y Wei, A Yates, O Frieder, N Goharian
Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013
692013
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval
K Hui, A Yates, K Berberich, G de Melo
Proceedings of the 11th ACM International Conference on Web Search and Data …, 2018
522018
Enhancing web search in the medical domain via query clarification
L Soldaini, A Yates, E Yom-Tov, O Frieder, N Goharian
Information Retrieval Journal 19 (1-2), 149-173, 2016
402016
Retrieving medical literature for clinical decision support
L Soldaini, A Cohan, A Yates, N Goharian, O Frieder
European Conference on Information Retrieval, 538-549, 2015
372015
Are web user comments useful for search?
WG Yee, A Yates, S Liu, O Frieder
Proc. LSDS-IR, 2009, CEUR Workshop Proceedings 80, 63-70, 2009
362009
Extracting Adverse Drug Reactions from Social Media
A Yates, N Goharian, O Frieder
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
352015
Content-Based Weak Supervision for Ad-Hoc Re-Ranking
S MacAvaney, A Yates, K Hui, O Frieder
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
23*2019
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
C Li, Y Sun, B He, L Wang, K Hui, A Yates, L Sun, J Xu
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
222018
Triaging content severity in online mental health forums
A Cohan, S Young, A Yates, N Goharian
Journal of the Association for Information Science and Technology 68 (11 …, 2017
212017
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
A Cohan, B Desmet, A Yates, L Soldaini, S MacAvaney, N Goharian
Proceedings of the 27th International Conference on Computational …, 2018
162018
Learning to reformulate long queries for clinical decision support
L Soldaini, A Yates, N Goharian
Journal of the Association for Information Science and Technology 68 (11 …, 2017
142017
Health-related hypothesis generation using social media data
J Parker, A Yates, N Goharian, O Frieder
Social Network Analysis and Mining 5 (1), 7, 2015
132015
Position-Aware Representations for Relevance Matching in Neural Information Retrieval
K Hui, A Yates, K Berberich, G de Melo
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
122017
Characterizing Question Facets for Complex Answer Retrieval
S MacAvaney, A Yates, A Cohan, L Soldaini, K Hui, N Goharian, O Frieder
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
112018
Query Reformulation for Clinical Decision Support Search
L Soldaini, A Cohan, A Yates, N Goharian, O Frieder
The Twenty-Third Text REtrieval Conference Proceedings (TREC 2014), 2015
112015
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